Cargando…
Validation of a Visual-Based Analytics Tool for Outcome Prediction in Polytrauma Patients (WATSON Trauma Pathway Explorer) and Comparison with the Predictive Values of TRISS
Introduction: Big data-based artificial intelligence (AI) has become increasingly important in medicine and may be helpful in the future to predict diseases and outcomes. For severely injured patients, a new analytics tool has recently been developed (WATSON Trauma Pathway Explorer) to assess indivi...
Autores principales: | Niggli, Cédric, Pape, Hans-Christoph, Niggli, Philipp, Mica, Ladislav |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8153591/ https://www.ncbi.nlm.nih.gov/pubmed/34068849 http://dx.doi.org/10.3390/jcm10102115 |
Ejemplares similares
-
IBM WATSON Trauma Pathway Explorer© as a Predictor for Sepsis after Polytrauma - Is Procalcitonin Useful for Identifying Septic Polytrauma Patients?
por: Niggli, Cédric, et al.
Publicado: (2022) -
New Time-Related Insights into an Old Laboratory Parameter: Early CRP Discovered by IBM Watson Trauma Pathway Explorer© as a Predictor for Sepsis in Polytrauma Patients
por: Mica, Ladislav, et al.
Publicado: (2021) -
The Role of Lactate for Sepsis in Polytrauma Patients, a Time related Analysis using the IBM Watson Trauma Pathway Explorer(®)
por: Vetter, Philipp, et al.
Publicado: (2022) -
Evaluation of trauma and prediction of outcome using TRISS method
por: Singh, Jaspal, et al.
Publicado: (2011) -
New Trauma and Injury Severity Score (TRISS) adjustments for survival prediction
por: Domingues, Cristiane de Alencar, et al.
Publicado: (2018)